ANZLIC Metadata Profile: An Australian/New Zealand Profile of AS/NZS ISO 19115:2005, Geographic information - Metadata
Metadata Standard Version
1.1
Reference System Info
Reference System
Reference System Identifier
Identifier
Code
2193
Identification Info
Data Identification
Citation
Citation
Title
Tasman - Abel Tasman and Golden Bay LiDAR Index Tiles (2016)
Date
Abstract
This layer contains the index tiles for LiDAR data encompassing coastal areas from Onekaka in the North to Riwaka in the the South captured in 2016.
- The DEM is available as layer [Tasman - Abel Tasman and Golden Bay LiDAR 1m DEM (2016)](http://data.linz.govt.nz/layer/95578-tasman-abel-tasman-and-golden-bay-lidar-1m-dem-2016/).
- The DSM is available as layer [Tasman - Abel Tasman and Golden Bay LiDAR 1m DSM (2016)](http://data.linz.govt.nz/layer/95579-tasman-abel-tasman-and-golden-bay-lidar-1m-dsm-2016/).
- The LAS point cloud and vendor project reports are available from [OpenTopography](http://opentopo.sdsc.edu/datasets).
Lidar was captured for Tasman District Council by AAM New Zealand in December 2016. The datasets were generated by AAM New Zealand and their subcontractors. Data management and distribution is by Land Information New Zealand.
Data comprises:
- DEM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout
- DSM: tif or asc tiles in NZTM2000 projection, tiled into a 1:1,000 tile layout
- Point cloud: las tiles in NZTM2000 projection, tiled into a 1:2,000 tile layout
Pulse density specification is 2 pulses/square metre.
Vertical accuracy specification is +/- 0.12m (95%).
Horizontal accuracy specification is +/- 1.00m (95%).
Released by LINZ under Creative Commons Attribution 4.0 New Zealand (CC BY 4.0) with:
Following Attribution: "Sourced from the LINZ Data Service and licensed by Tasman District Council, for re-use under CC BY 4.0." For details see: https://www.linz.govt.nz/data/licensing-and-using-data/attributing-elevation-or-aerial-imagery-data
-Device Name: ALS 60 -Half Scan Angle: 30 degrees -Laser Pulse Rate: 300 kHz -Laser Pulse Mode: Multi Pulse -Average Point Spacing: 2.0 pts/m2 -Laser return: 1st, 2nd, 3rd and last -File Format: ESRI ASCII Grid, LAS 1.2, ESRI Shapefile -Horizontal Datum: NZGD2000 -Vertical Datum: NZVD2016 -Map Projection: NZTM2000 -Vertical Accuracy Specification: ±0.06m Standard Error (68% confidence level or 1 sigma) -Horizontal Accuracy Specification: ±0.50m Standard Error (68% confidence level or 1 sigma)
Note: Point Cloud Data from vendor has been supplied in LAS 1.3 format, despite Survey Report stating that it was supplied in LAS1.2 format.
Airborne Laser Scanner (ALS) data was acquired from a fixed wing aircraft between 13th and 14th December 2016 using AAM New Zealand's Leica ALS60 LiDAR systems. This area included coastal areas from Riwaka in the South to Onekaka in the North.
Classification of the point cloud followed the classification scheme below;
1 - Default 2 - Ground 3 - Low Vegetation 4 - Medium Vegetation 5 - High Vegetation 9 - Water
Data Validation:
Ground data in this volume has been compared to 468 test points obtained by field survey and assumed to be error-free. The test points were distributed across the mapping area and located on clear open ground. The mean difference has been removed from the data.
Data Classification has been manually checked and edited against any available imagery.
Limitations of Data:
The definition of the ground under trees may be less accurate.
Ground Support
GPS base station support was sourced from GeoNET CORS. The ground check points surveyed by Sound Surveying Ltd allowed an assessment of the accuracy of the ALS data.
Data Processing:
Reduction of the ALS data proceeded without any significant problems. Laser strikes were classified into ground and non-ground points using a single algorithm across the project area. Manual checking and editing of the data classification further improved the quality of the terrain model. Ground and water classes have been classified to ICSM Level 3.
ArcGIS 10.1 Terrain Grids were derived using the Natural Neighbour interpolation. This method uses the closest triangles and applies weights to the proportionate areas from the grid cell centroid to interpolate the value. It uses known elevation data, it does not make any predictions regarding the surface and accurately depicts existing troughs and peaks in the data and supports irregular point spacing, which suits the nature LiDAR data.
Lakes and large rivers were hydroflattened in the Bare Earth Digital Elevation Model.
Metadata Constraints
Legal Constraints
Use Limitation
Copyright of this work is owned by Land Information New Zealand
